Evaluating smart sampling for constructing multidimensional surrogate models

• المؤلفون الرئيسيون: Garud, Sushant S., Karimi, Iftekhar A., Brownbridge, George P.E., Kraft, Markus
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Adaptive Sampling; Experimental Design; DRNTU::Engineering::Chemical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/90099; http://hdl.handle.net/10220/48382
• المؤسسة: Nanyang Technological University

In this article, we extensively evaluate the smart sampling algorithm (SSA) developed by Garud et al. (2017a) for constructing multidimensional surrogate models. Our numerical evaluation shows that SSA outperforms Sobol sampling (QS) for polynomial and kriging surrogates on a diverse test bed of 13...